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Yang, Yi-Jie (2025) Automated Oil Spill Detection System Using Spaceborne Synthetic Aperture Radar with Deep Learning-Based Algorithm. Dissertation, Christian-Albrechts-Universität zu Kiel.
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Official URL: https://macau.uni-kiel.de/receive/macau_mods_00007308
| Item URL in elib: | https://elib.dlr.de/219293/ | ||||||||
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| Document Type: | Thesis (Dissertation) | ||||||||
| Title: | Automated Oil Spill Detection System Using Spaceborne Synthetic Aperture Radar with Deep Learning-Based Algorithm | ||||||||
| Authors: |
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| DLR Supervisors: |
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| Date: | 4 December 2025 | ||||||||
| Journal or Publication Title: | MACAU | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Number of Pages: | 157 | ||||||||
| Status: | Published | ||||||||
| Keywords: | Oceanography, SAR, Marine oil spill detection; Remote sensing; Synthetic aperture radar; Deep learning; Physical oceanography | ||||||||
| Institution: | Christian-Albrechts-Universität zu Kiel | ||||||||
| Department: | Mathematisch-Naturwissenschaftliche Fakultät | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Earth Observation | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||
| DLR - Research theme (Project): | R - SAR methods | ||||||||
| Location: | Bremen , Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > SAR Signal Processing | ||||||||
| Deposited By: | Kaps, Ruth | ||||||||
| Deposited On: | 09 Dec 2025 11:37 | ||||||||
| Last Modified: | 09 Dec 2025 11:37 |
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